基于HIS原理的复杂异构网络异常检测机制

异构网络的融合使网络安全问题更加复杂，独立式的安全机制已不再有效。为此，针对复杂异构网络的传染性和主要的外部网络攻击，提出一个基于人体免疫系统相关原理的异常检测机制，使异构网络中的各网络实体协同工作，检测网络攻击造成的网络异常。模拟实验结果证明，该异常检测机制能有效识别拒绝服务、分布式拒绝服务和蠕虫病毒等网络攻击。

Anomaly Detection Mechanism for Complex Heterogeneous Network Based on Principle of Human Immune System

The interconnection between the heterogeneous networks causes network security become more complex,and the isolated security strategy is no more valid.For the infective and epidemic external network attack,this paper presents an anomaly detection mechanism based on the principle of Human Immune System(HIS),which is applied in complex heterogeneous network and induces network entity to collaboratively work in order to effectively detect traffic anomaly from network attack.Simulation experimental results show that this anomaly detection approach can availably identify the prevalent network attack.